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    Amazon Selling Partner
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    Amazon Selling Partner

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    Article summary

    Amazon Selling Partner is a platform that enables businesses to sell their products on Amazon's marketplace. It provides tools and resources for listing products, managing inventory, and fulfilling orders, allowing businesses to reach a wide customer base through Amazon's online retail platform.

    Refer to our website for the list of metrics and attributes available in Dataddo.

    Refer to Amazon's official documentation to see all available endpoints from the Amazon Selling API.

    Authorize Connection to Amazon Selling Partner

    To authorize this service, use OAuth 2.0 to share specific data with Dataddo while keeping usernames, passwords, and other information private.

    1. On the Authorizers page, click on Authorize New Service and select your service.
    2. Follow the on-screen prompts to grant Dataddo the necessary permissions to access and retrieve your data.
    3. [Optional] Once your authorizer is created, click on it to change the label for easier identification.

    Ensure that the account you're granting access to holds at least admin-level permissions. If necessary, assign a team member with the required permissions with the authorizer role to authenticate the service for you.

    For more information, see our article on authorizers.

    How to Create an Amazon Selling Partner Data Source

    1. On the Sources page, click on the Create Source button and select the connector from the list.
    2. Select your dataset and click on Next to continue.
      DATADDO TIP

      If you are not sure which dataset you need but know the metrics and attributes, use the Search by Name or Attribute function.

      Source creation using a fixed-schema connector.
    3. From the drop-down menu, select your authorizer.
      Didn't find your authorizer?

      Click on Add new Account at the bottom of the drop-down and follow the on-screen prompts. You can also go to the Authorizers tab and click on Add New Service.

    4. Name your data source and select your metrics and attributes. Keep in mind that metrics and attributes depend on the selected dataset.
    5. Configure your sync frequency or the exact synchronization time under Show advanced settings.
      DATADDO TIP

      If you need to load historical data, please refer to the Data Backfilling article.

    6. Preview your data by clicking on the Test Data button in the top right corner. You can adjust the date range for a more specific time frame.
    7. Click on Save and congratulations, your new data source is ready!

    Dataset-Specific Fields

    Some of Amazon Selling Partner datasets will require additional fields to be selected or filled in on the Metrics and Attributes step. This applies to the following datasets:

    • Catalog
    • Report
    • Sales

    Catalog Dataset

    Fill in the keywords (separated by commas, e.g., electronics,clothes,furniture) and select your metrics and attributes. Keep in mind that metrics and attributes depend on the selected dataset.

    DATADDO TIP

    Keywords are a type of identifier used to search for and retrieve information about a group of products. Unlike precise identifiers like ASIN, UPC, or EAN, which point to a single item, keywords function like a search query you would use on the Amazon website. For example, you can use:

    • Brand names like "Apple" or "Samsung"
    • Product categories like "coffee makers"
    • Descriptive phrases like "cordless vacuum cleaner"

    Report Dataset

    Select the Report type to determine the specific kind of business data you want to extract. Amazon's API offers a wide variety of reports, each containing different data points relevant to a seller's operations, such as:

    • Sales and Traffic Reports: Data on sales volume, order details, and page views.
    • FBA Inventory Reports: Information about your products in Amazon's fulfillment centers.
    • Settlement Reports: Detailed breakdowns of your financial transactions, including sales, fees, and payments.
    • FBA Returns Reports: Information on customer returns and the condition of the returned products.
    • Pricing Reports: Data about a product's current pricing and competitive offers.

    For more information, see Amazon's official documentationl.

    Sales Dataset

    Select your Time period breakdown to specify the granularity of the data you want to retrieve. Supported options are:

    • Hour: Aggregates data by hour, providing the most detailed view.
    • Day: Groups data by day, useful for daily performance tracking.
    • Week: Rolls up data to a weekly summary, good for short-term trend analysis.
    • Month: Summarizes data by month, ideal for monthly reports and comparisons.
    • Year: Aggregates data annually, used for long-term trend analysis and yearly performance reviews.
    • Total: Provides a single, grand total for the entire selected time period, with no breakdown.

    Choosing a daily breakdown provides a more granular view for detailed analysis, while choosing a monthly or yearly breakdown is better for high-level trend analysis and long-term reporting.

    Troubleshooting

    Data Preview Unavailable

    No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:

    • Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
    • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.

    Missing Amazon Selling Partner Reports Data

    In case you need data from your Amazon Selling Partner reports, you will need a custom data source. Please reach out to us at support@dataddo.com and we will create the custom source for you.

    Orders Dataset Exception

    Note that the following field from the Orders dataset is available only to the Brazilian marketplace:

    • SellerDisplayName

    Related Articles

    Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.

    Sending Data to Dashboarding Apps

    Sending Data to Data Storages

    Other Resources

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